Ok-Gee Min

Performance evaluation technique of the RTSP based streaming server

In recent years, there have been many streaming servers that provide a large number of contents for a users preference. General purpose streaming server makes use of a RTSP protocol for streaming controls such as message passing with client players. To date, there has been minimal research regarding streaming servers performance test tools. For measuring streaming servers performance, performance evaluation technique is needed and also achieved by the RTSP controls, a servers performance result and its miscellaneous test tools such as the PseudoPlayer for pumping data to a specified port and the PseudoMonitor for gathering information. In this paper, we implement a test toolkit for evaluating a streaming servers performance and show the case of its application.

Scalable architecture for an automated surveillance system using edge computing

Over the past few years, the Internet of Things has gone from theoretical concept to our everyday living experience. The explosive growth of sensor streams also leads to a new paradigm of edge computing. In the surveillance system, edge-based automation is crucial to get fast response for fast data analytics among connected devices. In this paper, we propose an automated surveillance system to improve robustness and intelligence. Our scalable architecture is an alternative way of reducing the server resource and wireless network limitation.

The PT-2 caching algorithm in the transcoding proxy cluster to facilitate adaptive content delivery

With the advent of wireless network devices, clients such as PDAs and mobiles have become heterogeneous in terms of their capabilities. For the purpose of maintaining different categories of clients, transcoding has emerged as a major field in adaptive multimedia delivery. However, little work has been performed in the area of caching transcoded streaming media in a cluster environment. We therefore propose a new partial caching algorithm for improving cache utilization and adapting heterogeneous content delivery to reduce startup latency.

Design of an adaptive streaming system in ubiquitous environment

In this paper, we introduce an adaptive streaming system that can be used for constructing entertainment systems or e-learning systems in ubiquitous environment. The system has two major features to achieve high quality service. One is the session mobility and the other is adaptability. Session mobility makes a user to keep own session even though he/she changes his location and display terminal. Adaptability means that the streaming system fits a streaming content for the client terminals capabilities such as network condition, display resolution, or users preferences

Cooperative Big Data Processing Engine for Fast Reaction in Internet of Things Environment: Greater Than the Sum of Its Parts

This paper outlines cooperative big data processing engine in Internet of Things environment. Our platform splits an analytical job into two meaningful sub-jobs. First one of two sub-jobs push away from centralized points (e.g., analysis server) to the physical Internet of Things devices (e.g., embedded devices) for filtering out the inconsequential messages and achieving the best message-response possible. Second one of two sub-jobs conducts remaining parts of complicated analytic mission in traditional servers. This approach significantly decreases the data volume that must be moved, the consequent traffic. Furthermore, it can provide faster reaction in most instances.

A safer way to share a car based on SNS to increase use efficiency of released vehicles

Due to rapid urbanization, a parking space in cities is very insufficient, and moreover, a use efficiency of released vehicles is greatly reduced. To solve such problems, a car sharing service has been introduced, but focuses on a service that overcomes limitations of rental cars. Our paper is focused on providing the safest car sharing service based on SNS(Social Networking Service) to increase a use efficiency of released vehicles. More particularly, a direct transaction between a car sharing service provider and a user can be provided. Therefore, it is not required to separately construct an infrastructure for the car sharing service. Our paper can be contributed to maximize the usability of the used car and to solve a problem which is lack of parking lots by using the cyber security mechanism.

A Layered Features Analysis in Smart Farm Environments

Calculating or predicting the harvest yield of crops in agriculture has been one of its most important techniques. Smart farms, with the power of IoT, provide invaluable information such as real-time environment data such as temperature, humidity, etc. However, there are situations where not all data can be sent over the internet due to private reasons. In this paper, we propose a scalable data analysis framework: the edges preprocess and analyze the private data and send the results to server, and the server gathers and accumulates the results to estimate and predict the total harvest yield. Based on the results obtained from a real tomato farm, error rate is comparable to the one performed at the server only, but the number of features is reduced significantly.

A Hierarchically Switching Analysis Architecture with Streaming Data from IoT (Internet of Things) Sensors

In this paper, we proposed a hierarchical analysis architecture for IoT streaming data by switching computing load between an analysis server and edge devices dynamically in order to reduce the resource usage of the analysis server. The hierarchically distributed switching analysis system can analyze faster and more IoT streaming data with the same computing capability. To show the feasibility of the proposed method, we applied the proposed method to the prediction problem of energy consumption of a simulated BEMS (Building Energy Management System) which is based on real BEMS data.

Design of a scalable data stream channel for big data processing

This paper outlines big data infrastructure for processing data streams. Our project is distributed stream computing platform that provides cost-effective and large-scale big data services by developing data stream management system. This research contributes to advancing feasibility of big data processing for distributed, real-time computation even when they are overloaded.

The design of digital items server for processing multi DI clients on ubiquitous environments

To stream adapted contents to a variety of devices such as PDA, PC, HDTV and so on, on ubiquitous environments, digital items (DI) client access DI server to get information for adapted contents streaming and to store data related with streaming service. When a lot of DI client concurrently connect DI server, to increase the performance of the DI server in working process related with adapted streaming, we propose new technique that there are some main controller threads and each main controller thread has its own FIFO, which manages DI messages. Because each main controller thread has its own FIFO, by distributing DI messages to some main controller thread that is less busy, we make DI server keep good performance and condition